Obstacle-Avoidance-Bot-Using-ROS

An autonomous robot that navigates and avoids obstacles in real time using LiDAR and depth sensors. SLAM generates maps, while NAV2 handles path planning. Simulations are performed in Gazebo with RViz for visualization.

This is an implementation of an algorithm that enables a robot to autonomously traverse without colliding into any major obstacles in its way.

Behavior-based modeling of a self-designed robot model in ros

Gazebo simulation of a 4 wheeled skid steer bot that can perform simple autonomous traversal as well as traversal with obstacle avoidance using a GPS, an IMU, ultrasonics and a Kinect.

ROS를 활용한 자율주행 차량의 차선 탐지 및 경로 계획 프로젝트 (장애물 회피 및 주행 경로 추적을 위한 영상 처리 및 제어)

Obstacle Avoidance and traversal using a 3D lidar modelled after SICK MRS1000

Mecanum four wheeled robot simulated using ROS1 Noetic

URDF-M2WR-ROBOT+NEW-WORLD+OBSTACLE-AVOIDANCE+GMAPPING-SLAM

Implementation of adaptive monte carlo localization & autonomous navigation on a two wheeled robot in simulation

Differential drive robot following a marked line based on vision inputs and avoiding obstacles based on LIDAR inputs. The final project for the Reading Course at BITS-PILANI (Goa Campus), 2020.